AgentFly

by Agent-One-Lab · MCP Server · ★ 114

About AgentFly

Scalable and extensible reinforcement learning for LM agents.

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Quick Facts

Stars114
Forks12
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score36.7/100
Open Issues1
Last Updated2026-05-06
Created2025-07-05
Platformsmcp, python
Est. Tokens~1388k

Compatible Skills

These tools work well together with AgentFly for enhanced workflows:

  • Open-AgentRL — semantic(0.57)+complementary+rare_topics+same_lang+similar_pop+shared_platform (74%)
  • SkillZero — semantic(0.53)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)
  • CodeGym — semantic(0.53)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)
  • ToolBrain — semantic(0.51)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • llm-rl-environments-lil-course — semantic(0.46)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)

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Frequently Asked Questions

What is AgentFly?

AgentFly is Scalable and extensible reinforcement learning for LM agents.. It is categorized as a MCP Server with 114 GitHub stars.

What programming language is AgentFly written in?

AgentFly is primarily written in Python. It covers topics such as agent, agent-rl, agentfly.

How do I install or use AgentFly?

You can find installation instructions and usage details in the AgentFly GitHub repository at github.com/Agent-One-Lab/AgentFly. The project has 114 stars and 12 forks, indicating an active community.

What license does AgentFly use?

AgentFly is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

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